Marine habitats map of Isla del Caño, Costa Rica, comparing Quickbird and Hymap images classification results

Fonseca, Ana C.; Guzmán, Héctor M.; Cortés, Jorge; Soto, Carlomagno

doi:10.15517/rbt.v58i1.5216

Cited by 3 publications

(4 citation statements)

References 24 publications

(30 reference statements)

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“…Coral reef and isolated coral colonies were frequent in shallow waters of the Island and its islets. Fonseca et al (2010) found a similar pattern in Isla del Caño, Costa Rica, where corals surrounded this island, but with lower development in the south region (Guzmán & Cortés 1989).…”

Section: Discussionsupporting

confidence: 54%

“…Geographic Information Systems (GIS) applications to marine habitats are a powerful management and monitoring tools for marine protected areas and resources (Fonseca et al 2010). For example, Levinson (2008) used GIS to map of coral reefs around Rossel Island, Papua New Guinea: and took the autochthonous language to relate these names with the marine resource utilization by local people.…”

mentioning

confidence: 99%

“…The importance of map marine habitats was showed by the study of Fonseca et al (2010) that presented the distribution of marine habitats in the marine protected area, Reserva Biológica Isla del Caño, located on the southern Pacific coast of Costa Rica. They used other techniques with supervised classification of high resolution images validated with field data, and they provided management recommendations based in their results.…”

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confidence: 99%

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Distribution of shallow water soft and hard bottom seabeds in the Isla del Coco National Park, Pacific Costa Rica

Sibaja–Cordero¹,

Troncoso²,

Benavides-Varela³

et al. 2017

Rev. Biol. Trop.

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Geographic Information Systems (GIS) applications used in marine habitats are powerful tools for management and monitoring of marine reserves and resources. Here, we present a series of maps of the soft and hard substrates in the shallow waters (>80 m depth) of Parque Nacional Isla del Coco (PNIC= Isla del Coco National Park). We use bathymetry data and field data as input for a GIS, GAM, and kriging methods to generate a series of maps that describe the bottom characteristics. Eight types of bottom were found in the PNIC by composition and grain size. The shore of the island and islets consisted of rocky formations (mainly basalts), with coral reefs in the subtidal of some areas. Rhodolith beds had a dispersing distribution. The bottom on the southern and southwestern region is hard substrate, while sediments cover the northern and northeastern zones. Slightly gravelly sand dominated the bays, while gravelly sand (with more coarse grains) was frequent offshore. The inner areas of Chatham and Wafer bays have mud and organic matter. The sediments in the area are mostly carbonates, except in Bahía Yglesias where clastic sediments (from the erosion of basalts) are presented. The information generated in this study could be a valuable input for future monitoring in the PNIC. Citation: Sibaja-Cordero, J.A., J.S. Troncoso, C. Benavides-Varela & J. Cortés. 2012. Shallow water soft and hard bottoms of Isla del Coco National Park, Pacific Costa Rica. Rev. Biol. Trop. 60 (Suppl. 3): 53-66. Epub 2012 Dec 01.

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Section: Discussionsupporting

confidence: 54%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Distribution of shallow water soft and hard bottom seabeds in the Isla del Coco National Park, Pacific Costa Rica

Sibaja–Cordero¹,

Troncoso²,

Benavides-Varela³

et al. 2017

Rev. Biol. Trop.

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“…Multispectral data have been successfully used to produce a relatively accurate benthic habitats map in optically shallow water area at various classification scheme complexities Fonseca et al, 2010;Phinn et al, 2012;Roelfsema et al, 2013]. In addition to the existing benthic habitats mapping of medium spatial resolution data such as Landsat series, SPOT series, and ASTER [Capolsini et al, 2003;El-Askary et al, 2014], high spatial resolution multispectral data such as Quickbird, IKONOS, Geoeye-1 and Worldview-2 have added the depth of remote sensing application on benthic habitats mapping [Mishra et al, 2006;Vahtmae et al, 2011;Cerdeira-Estrada et al, 2012;.…”

Section: Introductionmentioning

confidence: 99%

Improving the accuracy of Multispectral-based benthic habitats mapping using image rotations: the application of Principle Component Analysis and Independent Component Analysis

Wicaksono

2016

European Journal of Remote Sensing

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The low number of water penetration bands in multispectral images limits the maximum descriptive resolution and the accuracy of the resulting benthic habitats maps, especially at higher levels of benthic habitats scheme complexities. This research aimed at improving the accuracy of benthic habitats mapping by exploiting the spectral performance of multispectral images using image rotation techniques, which is very beneficial for fast, accurate, and repeatable mapping. Kemujan Island as part of the Karimunjawa archipelago in Indonesia is selected as the study area. Principle Component Analysis (PCA) and Independent Component Analysis (ICA) were applied on Worldview-2 prior to image classification. The inputs for PCA and ICA are deglint bands and water column-corrected bands. Field benthic data collected from photo-transect technique were used to train the rotated datasets in the classification process and to assess the accuracy of the resulting benthic habitat maps. Three levels of benthic habitats classification schemes were constructed based on the variation of benthic habitats insitu, which covers the variations of coral reefs, seagrass, macro algae, and bare substratum. The results show that the application of image rotations on Worldview-2 improves the overall accuracy of benthic habitats mapping and become more effective as the classification scheme complexities increase. In the absence of water column correction, PCA and ICA become the best option to assist benthic habitats mapping.

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Image Fusion Applied to Satellite Imagery for the Improved Mapping and Monitoring of Coral Reefs: A Proposal

Gholoum

Bruce

Hazeam

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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A coral reef ecosystem, one of the most complex marine environmental systems on the planet, is defined as biologically diverse and immense. It plays an important role in maintaining a vast biological diversity for future generations and functions as an essential spawning, nursery, breeding and feeding ground for many kinds of marine species. In addition, coral reef ecosystems provide valuable benefits such as fisheries, ecological goods and services and recreational activities to many communities. However, this valuable resource is highly threatened by a number of environmental changes and anthropogenic impacts that can lead to reduced coral growth and production, mass coral mortality and loss of coral diversity. With the growth of these threats on coral reef ecosystems, there is a strong management need for mapping and monitoring of coral reef ecosystems. Remote sensing technology can be a valuable tool for mapping and monitoring of these ecosystems. However, the diversity and complexity of coral reef ecosystems, the resolution capabilities of satellite sensors and the low reflectivity of shallow water increases the difficulties to identify and classify its features. This paper reviews the methods used in mapping and monitoring coral reef ecosystems. In addition, this paper proposes improved methods for mapping and monitoring coral reef ecosystems based on image fusion techniques. This image fusion techniques will be applied to satellite images exhibiting high spatial and low to medium spectral resolution with images exhibiting low spatial and high spectral resolution. Furthermore, a new method will be developed to fuse hyperspectral imagery with multispectral imagery. The fused image will have a large number of spectral bands and it will have all pairs of corresponding spatial objects. This will potentially help to accurately classify the image data. Accuracy assessment use ground truth will be performed for the selected methods to determine the quality of the information derived from image classification. The research will be applied to the Kuwait's southern coral reefs: Kubbar and Um Al-Maradim.

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Marine habitats map of Isla del Caño, Costa Rica, comparing Quickbird and Hymap images classification results

Cited by 3 publications

References 24 publications

Distribution of shallow water soft and hard bottom seabeds in the Isla del Coco National Park, Pacific Costa Rica

Distribution of shallow water soft and hard bottom seabeds in the Isla del Coco National Park, Pacific Costa Rica

Improving the accuracy of Multispectral-based benthic habitats mapping using image rotations: the application of Principle Component Analysis and Independent Component Analysis

Image Fusion Applied to Satellite Imagery for the Improved Mapping and Monitoring of Coral Reefs: A Proposal

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